Signature | Description | Parameters |
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#include <DataFrame/DataFrameStatsVisitors.h> template<typename T, typename I = unsigned long> struct CumProdVisitor; |
This is a “single action visitor”, meaning it is passed the whole data vector in one call and you must use the single_act_visit() interface. This functor class calculates the cumulative product of a given column. The constructor takes a single optional Boolean argument to whether skip NaN values. The default is True. The result is a vector of running products. |
T: Column data type. I: Index type. |
static void test_some_visitors() { std::cout << "\nTesting some visitors ..." << std::endl; std::vector<unsigned long> idx = { 123450, 123451, 123452, 123453, 123454, 123455, 123456, 123457, 123458, 123459, 123460, 123461, 123462, 123466, 123467, 123468, 123469, 123470, 123471, 123472, 123473 }; std::vector<double> d1 = { 1.0, 10, 8, 18, 19, 16, 21, 17, 20, 3, 2, 11, 7.0, 5, 9, 15, 14, 13, 12, 6, 4 }; std::vector<double> d2 = { 1.0, 10, 8, 18, 19, 16, 17, 20, 3, 2, 11, 7.0, 5, 9, 15, 14, 13, 12, 6, 4 }; std::vector<int> i1 = { 1, 1, 2, 4, 3, 4, 5, 2, 1, 2, 2, 3, 4, 5, 7, 1, 2, 3, 2, 6, 4 }; std::vector<int> i2 = { 1, 10, 8, 18, 19, 16, 17, 20, 3, 2, 11, 7, 5, 9, 15, 14, 13, 12, 6, 4 }; std::vector<double> d3 = { 1, 10, std::numeric_limits<double>::quiet_NaN(), 18, 19, 16, 17, 20, std::numeric_limits<double>::quiet_NaN(), 2, 11, 7, std::numeric_limits<double>::quiet_NaN(), 5, 9, 15, 14, 13, 12, 6 }; MyDataFrame df; df.load_data(std::move(idx), std::make_pair("dblcol_1", d1), std::make_pair("intcol_1", i1)); df.load_column("dblcol_2", std::move(d2), nan_policy::dont_pad_with_nans); df.load_column("intcol_2", std::move(i2), nan_policy::dont_pad_with_nans); df.load_column("dblcol_3", std::move(d3), nan_policy::dont_pad_with_nans); SumVisitor<int> sum_visit; ProdVisitor<int> prod_visit; int sum_result = df.visit<int>("intcol_2", sum_visit).get_result(); int prod_result = df.visit<int>("intcol_1", prod_visit).get_result(); assert(sum_result == 210); assert(prod_result == 464486400); CumSumVisitor<double> cum_sum_visit; const std::vector<double> &cum_sum_result = df.single_act_visit<double>("dblcol_3", cum_sum_visit).get_result(); assert(cum_sum_result.size() == 20); assert(cum_sum_result[0] == 1); assert(cum_sum_result[1] == 11); assert(cum_sum_result[19] == 195); assert(cum_sum_result[18] == 189); assert(std::isnan(cum_sum_result[2])); assert(std::isnan(cum_sum_result[8])); CumMaxVisitor<double> cum_max_visit; const std::vector<double> &cum_max_result = df.single_act_visit<double>("dblcol_3", cum_max_visit).get_result(); assert(cum_max_result.size() == 20); assert(cum_max_result[0] == 1); assert(cum_max_result[1] == 10); assert(cum_max_result[19] == 20); assert(cum_max_result[18] == 20); assert(std::isnan(cum_max_result[2])); assert(std::isnan(cum_max_result[8])); }